EDBT 2026 Demo / reviewers in the wild / expert
Hao Shen 0001
dblp:26/2210-1
· DBLP profile ↗
14ranked-venue papers in the field
4as first author
12since 2021 · last 2026
0000-0001-7024-6573ORCID · conflict
Domains — venue-derived; a paper can count in several
Knowledge Engineering, Semantic Web & Information Systems · 13 (4 first)Database Systems & Data Management · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | IncepFold: A Deep Learning Framework for 3D Genome Prediction in Diverse Plant Species
Hao Shen 0001, Pengcheng Deng, Zhengchang Wang, Maojun Wang |
DASFAA (3) | 2 |
| 2026 | Sampled-data stabilization via novel looped-functional for fuzzy singular Markov jump system and its applications
Xingyue Liang, Jianwei Xia, Hao Shen 0001 |
Inf. Sci. | 3 |
| 2025 | Event-triggered sliding mode control for interval type-2 fuzzy interconnected systems under Markov-model-based hybrid cyberattacksabstractThis paper studies the event-triggered sliding mode control problem for interval type-2 fuzzy interconnected systems under hybrid cyberattacks modeled by Markov processes. Under the framework of an interval type-2 fuzzy model, the nonlinear relationship in the interconnected system is modeled and analyzed, and a fuzzy sliding mode controller is designed which can effectively resist hybrid cyberattacks. To rationally utilize limited channel resources, a decentralized event-triggered mechanism is used to reduce unnecessary information transmission. By constructing a Lyapunov function, some criteria are deduced to ensure that the closed-loop system is stochastically passive and the reachability of the designed sliding area is guaranteed. Finally, a four-area networked interconnected system is used to verify the effectiveness of the decentralized fuzzy sliding mode control strategy. Xiulin Wang, Feng Li 0009, Sang-Moon Lee 0001, Hao Shen 0001 |
Inf. Sci. | 4 |
| 2024 | Multi-group consensus of multi-agent systems subject to semi-Markov jump topologies against hybrid cyber-attacks
Duomei Li, Feng Li 0009, Jianwei Xia, Xihong Fei, Hao Shen 0001 |
Inf. Sci. | 5 |
| 2024 | Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming
Hao Shen 0001, Jing Wang 0071, Jinde Cao |
Inf. Sci. | 1 |
| 2024 | Q-learning-based non-zero sum games for Markov jump multiplayer systems under actor-critic NNs structure
Yun Wang 0025, Jiawei Xia, Jing Wang 0071, Hao Shen 0001 |
Inf. Sci. | 4 |
| 2024 | Dynamic event-triggered-based adaptive fuzzy optimized control for slowly switched nonlinear system with intermittent state constrains
Jing Zhang 0108, Chengyuan Yan, Jianwei Xia, Hao Shen 0001, Xiangpeng Xie 0001 |
Inf. Sci. | 4 |
| 2023 | Using partial sampled-data information for synchronization of chaotic Lur'e systems and its applications: an interval-dependent functional method
Yingjie Fan 0003, Zhen Wang 0008, Xia Huang 0002, Hao Shen 0001 |
Inf. Sci. | 4 |
| 2023 | Distributed consensus for nonlinear multi-agent systems with two-time-scales: A hybrid reinforcement learning consensus algorithm
Chuanjun Peng, Jianwei Xia, Jing Wang 0071, Hao Shen 0001 |
Inf. Sci. | 4 |
| 2023 | Non-fragile output feedback control for PDT-switched fuzzy systems under weighted try-once-discard protocol and its applicationabstractIn this work, the non-fragile output feedback control problem is discussed for persistent dwell-time switched nonlinear systems . In order to make full use of the bandwidth in communication networks, the weighted try-once-discard protocol is adopted to connect only one sensor with communication networks at a instant via the maximum-error-first policy. It is worth noticing that via using the weighted try-once-discard protocol, the information received by the controller becomes less such that the gains of the controller may be more susceptible to the internal and external environment. Therefore, the non-fragile output-feedback fuzzy control scheme is employed for maintaining the performance of controllers under such a protocol. Then, based on suitable augmented multiple Lyapunov-like functions, sufficient conditions are derived to ensure the stochastically globally uniform exponential stability and a fixed H ∞ performance for the resulted closed-loop system. Furthermore, through solving those conditions, the design approach of the desired controller can be developed. The feasibility of the established approach is illustrated via a example and a truck-trailer model. Hao Shen 0001, Xinmiao Liu, Jing Wang 0071, Kaibo Shi |
Inf. Sci. | 1 |
| 2021 | Finite-time energy-to-peak fuzzy filtering for persistent dwell-time switched nonlinear systems with unreliable links
Hao Shen 0001, Xinmiao Liu, Jianwei Xia, Xiangyong Chen, Jing Wang 0071 |
Inf. Sci. | 1 |
| 2021 | Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism
Jing Wang 0071, Jianwei Xia, Ju H. Park 0001, Hao Shen 0001 |
Inf. Sci. | 5 |
| 2016 | Finite-time l2-l∞ tracking control for Markov jump repeated scalar nonlinear systems with partly usable model information
Hao Shen 0001, Feng Li 0009, Zhengguang Wu, Ju H. Park 0001 |
Inf. Sci. | 1 |
| 2008 | Robust H∞ control for uncertain fuzzy systems with distributed delays via output feedback controllers
Xiaona Song, Shengyuan Xu 0001, Hao Shen 0001 |
Inf. Sci. | 3 |